EdwardHayashi-2023 commited on
Commit
fd950f4
·
1 Parent(s): 28d14c9

Update MELD-Audio.py

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  1. MELD-Audio.py +15 -13
MELD-Audio.py CHANGED
@@ -111,38 +111,40 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
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  return [
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  datasets.SplitGenerator(
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  name = datasets.Split.TRAIN,
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- gen_kwargs = {"split_key": "train", "dataset_path": dataset_path},
 
 
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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- gen_kwargs={"split_key": "dev", "dataset_path": dataset_path},
 
 
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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- gen_kwargs={"split_key": "test", "dataset_path": dataset_path},
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- )
 
 
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  ]
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  #--------------------------------------------------------------------------
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- def _generate_examples(self, split_key, dataset_path):
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  '''
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  Get the audio file and set the corresponding labels
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  '''
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  key = 0
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- text_path = "./" + split_key + ".csv"
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- with open(text_path, encoding = "utf-8") as csv_file:
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  csv_reader = csv.reader(csv_file, delimiter = ",", skipinitialspace=True)
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  next(csv_reader)
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  for row in csv_reader:
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  _, _, _, emotion, _, dialogue_id, utterance_id, _, _, _, _ = row
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- filename = "./" + split_key + "/dia" + dialogue_id + "_utt" + utterance_id + ".mp3"
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  yield key, {
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- "path": dataset_path + "/" + filename,
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  # huggingface dataset's will use soundfile to read the audio file
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- "audio": dataset_path + "/" + filename,
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  "label": emotion,
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  }
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  key += 1
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  #------------------------------------------------------------------------------
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-
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-
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-
 
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  return [
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  datasets.SplitGenerator(
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  name = datasets.Split.TRAIN,
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+ gen_kwargs = {"audio_path": dataset_path + "/MELD-Audio/train/",
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+ "csv_path": dataset_path + "/MELD-Audio/train.csv"
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+ },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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+ gen_kwargs = {"audio_path": dataset_path + "/MELD-Audio/dev/",
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+ "csv_path": dataset_path + "/MELD-Audio/dev.csv"
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+ },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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+ gen_kwargs = {"audio_path": dataset_path + "/MELD-Audio/test/",
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+ "csv_path": dataset_path + "/MELD-Audio/test.csv"
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+ },
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+ ),
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  ]
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  #--------------------------------------------------------------------------
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+ def _generate_examples(self, audio_path, csv_path):
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  '''
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  Get the audio file and set the corresponding labels
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  '''
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  key = 0
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+ with open(csv_path, encoding = "utf-8") as csv_file:
 
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  csv_reader = csv.reader(csv_file, delimiter = ",", skipinitialspace=True)
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  next(csv_reader)
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  for row in csv_reader:
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  _, _, _, emotion, _, dialogue_id, utterance_id, _, _, _, _ = row
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+ filename = "dia" + dialogue_id + "_utt" + utterance_id + ".mp3"
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  yield key, {
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+ "path": audio_path + filename,
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  # huggingface dataset's will use soundfile to read the audio file
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+ "audio": audio_path + filename,
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  "label": emotion,
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  }
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  key += 1
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  #------------------------------------------------------------------------------